Handover Prediction Integrated with Service Migration in 5G Systems

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dc.contributor.author Abdah, Hadeel
dc.contributor.author Barraca, João Paulo
dc.contributor.author Aguiar, Rui L.
dc.date.accessioned 2020-11-06T13:41:09Z
dc.date.available 2020-11-06T13:41:09Z
dc.date.issued 2020-07-27
dc.identifier.bibliographicCitation Abdah, H., Barraca, J.P. y Aguiar, R.L. (2020). Handover Prediction Integrated with Service Migration in 5G Systems. In Proceedings of ICC 2020 - 2020 IEEE International Conference on Communications (ICC).
dc.identifier.isbn 978-1-7281-5089-5
dc.identifier.uri http://hdl.handle.net/10016/31343
dc.description This paper has been presented at ICC 2020 - 2020 IEEE International Conference on Communications (ICC)
dc.description.abstract As the research community inclines toward adopting increasingly complex techniques for future networks, and simple methods are often ignored, being labeled as trivial. In this paper, we argue that simple methods can sometimes outperform more sophisticated ones. We demonstrate that by evaluating two prediction mechanisms to forecast mobile user’s handovers exploiting user-network association patterns. We perform a series of experiments on real-world data, evaluating the performance characteristics of such methods over more sophisticated and complex prediction techniques. Furthermore, we discuss how to easily bootstrap these mechanisms into the 5G network architecture. We suggest the use of these methods associated with Multi-access Edge Computing (MEC) scenarios, as a mean to identify favorable edge nodes to host the mobile applications, to best provide continuous and QoS-aware service for mobile users.
dc.description.sponsorship This work is funded by FCT/MEC through national funds and when applicable co-funded by FEDER - PT2020 partnership agreement under the project UID/EEA/50008/2019, Fundacao para a Ciencia e Tecnologia under grant SFRH/BD/136361/2018, and by the European Commission through the H2020 project 5GROWTH (Project ID 856709).
dc.format.extent 7
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2020 IEEE.
dc.title Handover Prediction Integrated with Service Migration in 5G Systems
dc.type bookPart
dc.type conferenceObject
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/ICC40277.2020.9149426
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/856709
dc.type.version acceptedVersion
dc.relation.eventdate 7-11 June 2020
dc.relation.eventplace Dublin, Ireland
dc.relation.eventtitle ICC 2020 - 2020 IEEE International Conference on Communications (ICC)
dc.relation.eventtype proceeding
dc.identifier.publicationtitle Proceedings of ICC 2020 - 2020 IEEE International Conference on Communications (ICC)
dc.contributor.funder European Commission
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